GeneSetCluster 2.0: a comprehensive toolset for summarizing and integrating gene-sets analysis

GeneSetCluster 2.0: a comprehensive toolset for summarizing and integrating gene-sets analysis

Abstract Background Gene-Set Analysis (GSA) is commonly used to analyze high-throughput experiments. However, GSA cannot readily disentangle clusters or pathways due to redundancies in upstream knowledge bases, which hinders comprehensive exploration and interpretation of biological findings. To add...

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Main Authors: Asier Ortega-Legarreta, Alberto Maillo, Daniel Mouzo, Ana Rosa López-Pérez, Lara Kular, Majid Pahlevan Kakhki, Maja Jagodic, Jesper Tegner, Vincenzo Lagani, Ewoud Ewing, David Gomez-Cabrero
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Bioinformatics
Subjects:
Gene-set analysis
Gene-set enrichment analysis
Functional annotation
Seriation-based clustering
Web application
Data-mining
Online Access:https://doi.org/10.1186/s12859-025-06249-3
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https://doi.org/10.1186/s12859-025-06249-3

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